Two's Complement Vibe Coding and Robot Teammates
41 snips
Nov 13, 2025 The hosts dive into the complicated relationship between AI and software development. They discuss the challenges of translating real-world requirements into code and the implication of AI replacing junior roles. Concerns about a future shortage of qualified trainers for AI systems are raised. The conversation highlights how experienced engineers may leverage AI more effectively. They debate the trade-offs of quick coding solutions versus maintaining robust software, ultimately acknowledging that while AI is a valuable tool, it doesn't solve every problem.
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Seniors Gain Most From AI
- Unexpectedly, senior engineers gain most leverage from AI because they can detect hallucinations and steer complex tasks.
- Juniors haven't seen the same hiring benefit and may be displaced instead.
Babysit LLMs Like Juniors
- Supervise LLMs closely and learn their hallucination patterns to catch incorrect assumptions.
- Apply mentoring skills from junior devs to control LLM outputs, but expect different learning behaviour.
Invest In Future Robot Wranglers
- Preserve and train future robot-controllers by hiring and developing junior engineers now.
- Avoid short-term efficiency that eliminates the pipeline of experienced engineers who will be needed later.
